Xinghua Yu

1.5k total citations · 1 hit paper
69 papers, 1.1k citations indexed

About

Xinghua Yu is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Xinghua Yu has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Mechanical Engineering, 22 papers in Materials Chemistry and 15 papers in Mechanics of Materials. Recurrent topics in Xinghua Yu's work include Welding Techniques and Residual Stresses (34 papers), Microstructure and Mechanical Properties of Steels (23 papers) and Non-Destructive Testing Techniques (15 papers). Xinghua Yu is often cited by papers focused on Welding Techniques and Residual Stresses (34 papers), Microstructure and Mechanical Properties of Steels (23 papers) and Non-Destructive Testing Techniques (15 papers). Xinghua Yu collaborates with scholars based in China, United States and Japan. Xinghua Yu's co-authors include Zidong Lin, Kaijie Song, S. S. Babu, Zhili Feng, Xiaopeng Wang, John C. Lippold, Jiaqi Wang, Yuan Tian, Yong Chae Lim and Yiyu Wang and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

Xinghua Yu

60 papers receiving 1.0k citations

Hit Papers

A review on wire and arc additive manufacturing of titani... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Xinghua Yu
Jie Ning China
Arne Kromm Germany
Claus Thomy Germany
J. Nowacki Poland
Junjie Ma United States
Ashley Reichardt United States
Xinghua Yu
Citations per year, relative to Xinghua Yu Xinghua Yu (= 1×) peers Waqas Muhammad

Countries citing papers authored by Xinghua Yu

Since Specialization
Citations

This map shows the geographic impact of Xinghua Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinghua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghua Yu more than expected).

Fields of papers citing papers by Xinghua Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinghua Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinghua Yu. The network helps show where Xinghua Yu may publish in the future.

Co-authorship network of co-authors of Xinghua Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Yu. A scholar is included among the top collaborators of Xinghua Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinghua Yu. Xinghua Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xiaopeng, Uwe Zscherpel, Paolo Tripicchio, et al.. (2025). A comprehensive review of welding defect recognition from X-ray images. Journal of Manufacturing Processes. 140. 161–180. 11 indexed citations
2.
Wang, Xiaopeng, Salvatore D’Avella, Baoxin Zhang, et al.. (2025). On the effect of the attention mechanism for automatic welding defects detection based on deep learning. Expert Systems with Applications. 268. 126386–126386. 15 indexed citations
3.
Zhang, Baoxin, et al.. (2025). The role of convolutional kernels in automated welding defect detection using t-SNE and DBSCAN clustering. Welding in the World. 69(5). 1267–1275.
4.
Li, Jinxia, Xinghua Yu, Huanyong Han, et al.. (2025). Effects of thidiazuron and methyl jasmonate tank mixes on cotton defoliation and the underlying phytohormonal mechanisms. Journal of Cotton Research. 8(1).
5.
Wang, Xiaopeng, Baoxin Zhang, & Xinghua Yu. (2024). Zoom in on the target network for the prediction of defective images and welding defects' location. NDT & E International. 143. 103059–103059. 12 indexed citations
6.
Lin, Zidong, et al.. (2024). Prediction of martensitic transformation start temperature of steel using thermodynamic model, empirical formulas, and machine learning models. Modelling and Simulation in Materials Science and Engineering. 32(6). 65016–65016.
7.
Lin, Zidong, Xuefeng Zhao, Wei Ya, et al.. (2024). Effect of Multiple Thermal Cycles on Microstructure and Mechanical Properties of Cu Modified Ti64 Thin Wall Fabricated by Wire-Arc Directed Energy Deposition. Acta Metallurgica Sinica (English Letters). 37(11). 1875–1890. 1 indexed citations
8.
Zhang, Baoxin, Xiaopeng Wang, Xu Wang, et al.. (2023). Welding defects classification by weakly supervised semantic segmentation. NDT & E International. 138. 102899–102899. 17 indexed citations
9.
Lin, Zidong, et al.. (2023). A study of Cu modified Ti–6Al–4V deposits fabricated by wire-arc directed energy deposition: Alloy design, microstructure, and mechanical properties. Materials Science and Engineering A. 887. 145750–145750. 10 indexed citations
10.
Li, Xuyan, Chi Peng, Jiyu Tian, et al.. (2023). Effect mechanism of arc oscillation on microstructure and mechanical performance of SUS304 weld seams manufactured by local dry underwater double pulsed MIG welding. Materials Science and Engineering A. 887. 145752–145752. 17 indexed citations
11.
Song, Kaijie, Zidong Lin, Xuefeng Zhao, et al.. (2023). Microstructure and Mechanical Properties of High-Strength, Low-Alloy Steel Thin-Wall Fabricated with Wire and Arc Additive Manufacturing. Metals. 13(4). 764–764. 18 indexed citations
12.
Song, Kaijie, Zidong Lin, Xuefeng Zhao, et al.. (2023). Microstructure and mechanical properties of wire and arc additive manufactured thin wall with low-temperature transformation. Journal of Materials Science. 58(32). 13183–13204. 7 indexed citations
13.
Wang, Xiaopeng, et al.. (2022). Binary classification of welding defect based on deep learning. Science and Technology of Welding & Joining. 27(6). 407–417. 13 indexed citations
14.
Wang, Xiaopeng & Xinghua Yu. (2022). Understanding the effect of transfer learning on the automatic welding defect detection. NDT & E International. 134. 102784–102784. 21 indexed citations
15.
Wang, Jiaqi, et al.. (2021). A machine-learning approach to predict creep properties of Cr–Mo steel with time-temperature parameters. Journal of Materials Research and Technology. 13. 635–650. 70 indexed citations
16.
Lim, Yong Chae, Murray W. Mahoney, Xinghua Yu, et al.. (2014). Characterization of Multilayered Multipass Friction Stir Weld on ASTM A572 G50 Steel. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
17.
Yu, Xinghua. (2012). Multi-Scale Characterization of Heat-Affected Zone in Martensitic Steels. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations
18.
Yu, Xinghua. (2012). Effect of Magnetic Stirring on Nickel Alloy Weld Microstructure and Micro-Fissure Response. 1 indexed citations
19.
Yu, Xinghua, et al.. (2010). Characterization of microstructural strengthening in the heat-affected zone of a blast-resistant naval steel. Acta Materialia. 58(17). 5596–5609. 54 indexed citations
20.
Yu, Xinghua. (2009). Characterization and Modeling of Heat Affected Zone Microstucture in a Blast Resistant Steel. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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